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Poster
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Wed 14:00
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Toward Understanding Privileged Features Distillation in Learning-to-Rank
Shuo Yang · Sujay Sanghavi · Holakou Rahmanian · Jan Bakus · Vishwanathan S. V. N.
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Competition
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Wed 6:50
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MonsieurSolver - Feature extraction from spectra using a multi-instance learning approach
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Workshop
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Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
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Workshop
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Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
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Workshop
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SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning
Xingjian Li · Haoyi Xiong · Cheng-Zhong Xu · Dejing Dou
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Workshop
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Learning from physics-based features improves protein property prediction
Amy Wang · Ava Soleimany · Alex X Lu · Kevin Yang
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Workshop
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Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers
Rajat Agarwal · Anand Muralidhar · Agniva Som · Hemant Kowshik
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Workshop
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Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra PK Poudel · Harit Pandya · Roberto Cipolla
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Poster
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Tue 9:00
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Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Zongxin Yang · Yi Yang
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Poster
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Tue 9:00
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Dataset Distillation using Neural Feature Regression
Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba
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Poster
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Tue 9:00
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Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
Binghui Peng · Andrej Risteski
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Affinity Workshop
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The Effects of Acoustic Features of Speech on the Performance of an Automatic Speaker Recognition
Tumisho Mokgonyane
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